kedro.io.LambdaDataSet

class documentation

class LambdaDataSet(AbstractDataSet): (source)

LambdaDataSet loads and saves data to a data set. It relies on delegating to specific implementation such as csv, sql, etc.

LambdaDataSet class captures Exceptions while performing operations on composed DataSet implementations. The composed data set is responsible for providing information on how to resolve the issue when possible. This information should be available through str(error).

Example:

>>> from kedro.io import LambdaDataSet
>>> import pandas as pd
>>>
>>> file_name = "test.csv"
>>> def load() -> pd.DataFrame:
>>>     raise FileNotFoundError("'{}' csv file not found."
>>>                             .format(file_name))
>>> data_set = LambdaDataSet(load, None)

Method	`__init__`	Creates a new instance of `LambdaDataSet` with references to the required input/output data set methods.
Method	`_describe`	Undocumented
Method	`_exists`	Undocumented
Method	`_load`	Undocumented
Method	`_release`	Undocumented
Method	`_save`	Undocumented
Instance Variable	`__exists`	Undocumented
Instance Variable	`__load`	Undocumented
Instance Variable	`__release`	Undocumented
Instance Variable	`__save`	Undocumented

Inherited from AbstractDataSet:

Class Method	`from_config`	Create a data set instance using the configuration provided.
Method	`__str__`	Undocumented
Method	`exists`	Checks whether a data set's output already exists by calling the provided _exists() method.
Method	`load`	Loads data by delegation to the provided load method.
Method	`release`	Release any cached data.
Method	`save`	Saves data by delegation to the provided save method.
Method	`_copy`	Undocumented
Property	`_logger`	Undocumented

def __init__(self, load: Optional[Callable[[], Any]], save: Optional[Callable[[Any], None]], exists: Callable[[], bool] = None, release: Callable[[], None] = None): (source) ¶

Creates a new instance of LambdaDataSet with references to the required input/output data set methods.

Parameters
load:`Optional[Callable[[], Any]]`	Method to load data from a data set.
save:`Optional[Callable[[Any], None]]`	Method to save data to a data set.
exists:`Callable[[], bool]`	Method to check whether output data already exists.
release:`Callable[[], None]`	Method to release any cached information.
Raises
`DataSetError`	If a method is specified, but is not a Callable.